Knowledge for the Age of Artificial Intelligence： Development of Expertise and Learning to Transfer
The advent of the era of artificial intelligence has redefined employability， requiring educators to focus on two foundations y namely y foundational knowledge (including core concepts and essential content) and foundational competencies (including skills， character and meta-learning). Under this outlook， students are expected to strike a balance between developing expertise and learning to transfer. They will be educated to be a T-shaped expert with aspirations to be M-shaped one. Expertise and the transfer ability are developed via concepts rather than on learning content that can now be easily accessed and manipulated. It is similar to the way that the flipped classroom pedagogy incorporates technology for learning content so that class time can be used for activity-based concept learning. Core concepts are a power tool of knowledge and should be of high priority in the curriculum. If knowing and doing are appropriately combined in learning， the possibility of causing problematic knowledge ^fragile knowledge， recipe knowledge and inert knowledge， etc. ) will be reduced.
|關鍵詞||专长、迁移、人工智能时代、知识、理解、知与行、expertise、transfer the era of artificial intelligence、knowledge、understandings knowing and do- ing、CSSCI|